DEEP DATA ANALYTICS

deep-data-analytics-logo

2025 the volume of global data is forecast to reach up to 180 zettabytes. Yet text, video and images make up to 80% of that data and cannot be analyzed with classic methods. Deep Data Analytics closes this gap with Artificial Intelligence.

#SimilarOrganizations #Financial #Website #More

DEEP DATA ANALYTICS

Industry:
Analytics Artificial Intelligence

Founded:
2017-11-01

Address:
Starnberg, Bayern, Germany

Country:
Germany

Website Url:
http://www.deep-data-analytics.com

Total Employee:
1+

Status:
Active

Contact:
+498151 9193 883

Email Addresses:
[email protected]

Total Funding:
0

Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SSL By Default LetsEncrypt Apple Mobile Web Clips Icon WordPress Apache Wordpress Plugins Sitelinks Search Box Organization Schema


Similar Organizations

datascava-logo

DataScava

Unstructured Data Miner

not_available_image

u9t

Analytic platform for unstructured data

Investors List

european-data-incubator_image

European Data Incubator

European Data Incubator investment in Grant - Deep Data Analytics

Official Site Inspections

http://www.deep-data-analytics.com

  • Host name: dd37400.kasserver.com
  • IP address: 85.13.154.1
  • Location: Germany
  • Latitude: 51.2993
  • Longitude: 9.491
  • Timezone: Europe/Berlin

Loading ...

More informations about "Deep Data Analytics"

AI-driven consumer and product insights - Deep Data โ€ฆ

The founders of Deep Data Analytics met to tackle the problem of gaining meaningful insights from social media campaigns and developed a machine learning solution to rate the effectiveness of influencer campaigns based on โ€ฆSee details»

Deep Data Analytics - Crunchbase Company Profile & Funding

Where is Deep Data Analytics 's headquarters? Deep Data Analytics is located in Starnberg, Bayern, Germany. Who invested in Deep Data Analytics? Deep Data Analytics is funded by โ€ฆSee details»

Deep Data Analytics Company Profile - Craft

Deep Data Analytics is a company that applies artificial intelligence and natural language processing to order unstructured data. It develops a machine learning solution that rates the โ€ฆSee details»

Deep Data Analytics - Products, Competitors, Financials, โ€ฆ

Deep Data Analytics focuses on leveraging artificial intelligence for customer and product insights, operating in the data analytics industry. The company's main services include the use of โ€ฆSee details»

Home - Deep Data Insight

We achieve this by using Data Science methods, including Machine Learning and Deep Learning, to create new technologies that serve to enhance decision-making processes across all โ€ฆSee details»

DEEP

The Data Entry and Exploration Platform (DEEP) offers a suite of tools and collaborative workflows that meet the needs for compiling, storing, structuring, analyzing and visualizing data and qualitative information. It was born out of โ€ฆSee details»

Deep Data Analytics

6 days ago Deep Dive into the Analytics. Deep Data Analytics aims to lead the future of vertically integrated investment strategy through data analytics. Macro Signals. Heat map that converts a complex forecast model output into a โ€ฆSee details»

Introducing Deep Analysis: The Next Generation of AI โ€ฆ

Mar 13, 2025 From Data Retrieval to Deep Analysis. The evolution from data retrieval to deep analysis marks a critical shift in how AI interacts with business data.. Phase 1: Data Retrieval (Establishing Trust) Our initial focus was on โ€ฆSee details»

Building an effective analytics organization | McKinsey

Oct 18, 2018 Gaining an edge in analytics requires attracting, retaining, and sourcing the right talent. In McKinseyโ€™s survey, 58 percent of respondents at top-performing companies say that their organization has deep functional โ€ฆSee details»

What is deep analytics? | Definition from TechTarget

The voluminous amount of data produced within an organization is sometimes referred to as big data; deep analytics is sometimes referred to as big data analytics. See also: IBMโ€™s Watson โ€ฆSee details»

Defining Deep Data: What It Is and How to Use It

May 27, 2015 To effectively implement a Deep Data approach, companies must first develop a plan for leveraging the data and outline the desired results. Defining goals and working back toward the data sources and analytics that โ€ฆSee details»

Deepsearch analytics

Benefit from our highly experienced team with a deep data background and a proven history of assisting global organizations in effectively crafting, planning, and executing strategic โ€ฆSee details»

Deep Data Analytics | Data Analytics Corp.

Large data sets, so-called Big Data, present challenges best met with sophisticated tools and methodologies. This is deep data analytics โ€” the tools and methodologies used for analyzing โ€ฆSee details»

Deep Data Experts | Machine Learning

Our goal is to help businesses harness the power of their data to drive innovation, creativity, and business growth. With our expertise in Cloud Analytics Modernization, Versatile Application โ€ฆSee details»

What is Deep Analytics? | Towards Data Science

Jul 31, 2021 We have a name for Deep Learning as a transformative class of predictive models. We invented the term Business Intelligence to signify the importance of data-driven decision โ€ฆSee details»

Deep Data Analysis | Deep Data Analytics | Deep Data Mining

Deep data analysis is a process applied in deep data mining that analyzes, extracts and organizes large amounts of data in a form. ... The data analytics revolution has created a buzz for all the โ€ฆSee details»

Deep Analytics: Unlock Insights from Unstructured Data - Komprise

Deep Analytics What is Deep Analytics? Deep analytics is the process of applying data mining and data processing techniques to analyze and find large amounts of data in a form that is โ€ฆSee details»

Data Analytics Team Structure: A Practical Guide to Building a Data ...

Feb 12, 2025 A data analytics team structure is a framework that defines how your data team is organized to collect, process, analyze, and communicate insights within your organization. โ€ฆSee details»

Why next-gen analytics needs deep data observability - Google โ€ฆ

Apr 3, 2023 We often hear that being data-driven is essential for organizations. But thereโ€™s something missing from this statement. You need to be driven by high-quality data โ€” or else โ€ฆSee details»

What is Data Analytics? A Complete Guide for Beginners

Nov 17, 2023 Data analytics is the process of analyzing raw data in order to draw out meaningful, actionable insights. Learn more in this complete introductory guide. ... and data โ€ฆSee details»

linkstock.net © 2022. All rights reserved